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This is a Quantitative Study study (also classified as: Experimental Study).

Real-world deployment of trajectory smoothing with traffic-aware adaptive cruise control for automated vehicle speed adjustment

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This paper demonstrates the effectiveness of a traffic-aware adaptive cruise control system, improving speed prediction and energy efficiency.

The traffic-aware adaptive cruise control system reduces speed fluctuations and improves driving smoothness.
A mean absolute error of less than 1 mph was achieved in speed predictions during validation tests.
Using machine learning, the system forecasts vehicle speed based on real-time data from leading vehicles.
Significant enhancements in energy efficiency and traffic flow optimization were observed compared to the default cruise control.

Joy Carpio (2025) studied this question.

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This paper demonstrates the effectiveness of a traffic-aware adaptive cruise control system, improving speed prediction and energy efficiency.